Modeling Multi-Agent Self-Organization through the Lens of Higher Order Attractor Dynamics.

ABSTRACT: Social interaction occurs across many time scales and varying numbers of agents; from one-on-one to large-scale coordination in organizations, crowds, cities, and colonies. These contexts, are characterized by emergent self-organization that implies higher order coordinated patterns occurring over time that are not due to the actions of any particular agents, but rather due to the collective ordering that occurs from the interactions of the agents. Extant research to understand these social coordination dynamics (SCD) has primarily examined dyadic contexts performing rhythmic tasks. To advance this area of study, we elaborate on attractor dynamics, our ability to depict them visually, and quantitatively model them. Primarily, we combine difference/differential equation modeling with mixtur

SUBMITTER: Butner JE 

PROVIDER: S-EPMC5357650 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature